Channel estimation for filter bank multicarrier systems in low SNR environments

Driggs, Jonathan; Sibbett, Taylor; Moradi, Hussein; Farhang‐Boroujeny, Behrouz

doi:10.1109/icc.2017.7996516

Cited by 4 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Fig. 4, we compare the results of the proposed estimator to an alternative channel estimation approach from [8], to the performance when the estimator is given perfect knowledge of the channel PDP, and to the theoretical bound of (28).…”

Section: B Channel Estimatormentioning

confidence: 99%

“…For the approach taken in [8], the estimator does not account for the sparsity of the channel response. Instead, the channel response is assumed to be limited to a span of L c samples.…”

Section: B Channel Estimatormentioning

confidence: 99%

“…For instance, in [4]- [6], adaptive matching-pursuit based algorithms are developed and applied to estimating the doubly-dispersive channel responses of acoustic underwater channels. In [7] and [8], estimators are presented which assume the channel energy is concentrated at the beginning of the response, and so consider only a small number of taps spanning that region of time. The authors of [3] present This manuscript has been authored by Battelle Energy Alliance, LLC under Contract No.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method of Estimating Sparse and Doubly-Dispersive Channels

Hunt,

Haab,

Moradi

et al. 2023

MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)

Self Cite

View full text Add to dashboard Cite

Using pilot-symbol assisted modulation, we develop a method to acquire channel information from signals received in low-SNR environments. First, we estimate the power-delay profile (PDP) of the channel. Then, we apply information from that estimate to obtain the channel coefficients only at points where the PDP is nonzero. Because we estimate a reduced number of channel coefficients, the complexity and estimation error are simultaneously reduced. We present a case study of the proposed estimation method when applied to a wideband skywave high frequency (HF) channel. Through this study, we find that the proposed approach has significantly enhanced performance when compared to an existing method that does incorporate sparsity information into its estimate. The improved low-SNR performance of the proposed estimator makes it particularly well suited for spread-spectrum and underlay waveforms.

show abstract

Section: B Channel Estimatormentioning

confidence: 99%

“…For the approach taken in [8], the estimator does not account for the sparsity of the channel response. Instead, the channel response is assumed to be limited to a span of L c samples.…”

Section: B Channel Estimatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Method of Estimating Sparse and Doubly-Dispersive Channels

Hunt,

Haab,

Moradi

et al. 2023

MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)

Self Cite

View full text Add to dashboard Cite

show abstract

“…At the same time, one should note that to obtain the MRC coefficients w k , the estimates of the channel gain Ĉk and the noise variance σ2 k , i.e., the channel state information (CSI), must be obtained first. The estimate of Ĉk , in particular, is dependent on a correctly selected timing phase and typically requires the position of pilot symbols [31]. Noting that the main task of the matched filter is to detect the presence of a data packet and subsequently selecting the proper timing phase, a modified matched filter should be designed to operate without any knowledge of CSI.…”

Section: Normalized Matched Filtermentioning

confidence: 99%

“…Making use of ( 24), ( 29), (31), and ( 33), to substitute in (35) and (36), for the case where the channel gain is flat across the band of transmission, i.e.,…”

Section: Sinr Analysismentioning

confidence: 99%

Normalized Matched Filter for Blind Interference Suppression in Filter Bank Multicarrier Spread Spectrum Systems

2022

Self Cite

View full text Add to dashboard Cite

This paper proposes and analyzes a modification to the standard matched filtering operation utilized in filter-bank multicarrier spread spectrum (FB-MC-SS) communications. This modification suppresses the impact of partial-band interferers without a priori knowledge of their location within the band of transmission and/or their power characteristics. A performance analysis of the proposed matched filter, which indicates its usefulness in environments where interference is likely to be experienced, is presented. It is shown that whereas the standard matched filter proves to be ineffective for packet detection and timing acquisition in such harsh environments, the modified matched filter successfully removes the harmful effects of interferers. This is found to be a unique feature of FB-MC-SS which is non-existent in other alternative spread spectrum methods.

show abstract